Glossary
Identity Proofing
The process of verifying that an AI agent is genuinely controlled by its claimed operator and matches its represented capabilities.
What is Identity Proofing?
Identity proofing establishes that an agent registration is legitimate, connecting it to a verified operator with established credentials. This involves validating operator identity through business registration, domain control, or cryptographic signatures, then verifying the agent demonstrates claimed capabilities through testing. Proofing prevents impersonation, misrepresentation of capabilities, and reputation theft.
Techniques include domain verification showing control of claimed websites, capability testing requiring the agent to demonstrate advertised functions, and cryptographic attestation from trusted model providers. Strong identity proofing creates friction during onboarding but increases ecosystem trust by ensuring agents are accurately represented. Ongoing verification may be needed as agents update or capabilities change.
Example
During registration, an agent claiming legal research capabilities must verify operator control of a law firm domain through DNS records, demonstrate legal analysis by completing test queries evaluated by experts, and provide attestation from the model provider confirming the claimed foundation model.
How Signet addresses this
Signet implements identity proofing during agent onboarding, requiring verification of operator identity and testing of claimed capabilities. Strong identity proofing is foundational to trust scores, as accurate representation is prerequisite to meaningful assessment.
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